Paper Info
Title
A new coding scheme for the noisy-channel Slepian-Wolf problem: separate design and joint decoding
Abstract
A new scheme for solving the Slepian-Wolf problem over noisy channels using serially concatenated codes is proposed. An outer low density parity check code is used to perform distributed source coding, and an inner convolutional code adds error protecting capability to the compressed data. A soft iterative joint source-channel decoder is performed, where the decoder side information is provided to the sub outer decoder instead of the sub inner decoder. The scheme is attractive since separate refining of compression rate (outer code) and error protection power (inner code) makes the design easy and the performance controllable, and joint iterative decoding exploits the power of the serial concatenated structure as much as possible. Simulations reveal encouraging joint decoding gain especially at low signal-to-noise ratios.
Year
DOI
Venue
2004
10.1109/GLOCOM.2004.1377911
GLOBECOM
Keywords
Field
DocType
signal-to-noise ratios,outer low density parity check code,concatenated codes,inner convolutional code,decoding gain,joint source-channel decoder,serially concatenated codes,compressed data,error correction codes,noisy-channel slepian-wolf problem,joint decoding,sub outer decoder,iterative decoding,combined source-channel coding,parity check codes,compression rate,soft iterative decoder,error protection power,convolutional codes,distributed source coding,signal to noise ratio,convolutional code
Concatenated error correction code,Data compression ratio,Convolutional code,Low-density parity-check code,Computer science,Serial concatenated convolutional codes,Algorithm,Theoretical computer science,Real-time computing,Distributed source coding,Soft-decision decoder,Decoding methods
Conference
Volume
ISSN
ISBN
1
1930-529X
0-7803-8794-5
Citations 
PageRank 
References 
6
0.52
13
Authors
3
Name
Order
Citations
PageRank
Ruiyuan Hu190.99
Ramesh Viswanathan227823.10
Jing Li332927.99